langfuse-data-handling

# Langfuse Data Handling ## Overview Manage the Langfuse data lifecycle: export traces and scores via the API, configure retention policies, handle GDPR data subject requests, anonymize data for analytics, and maintain audit trails. ## Prerequisites - `@langfuse/client` installed - Langfuse API keys with appropriate permissions - Understanding of your compliance requirements (GDPR, SOC2, HIPAA) ## Instructions ### Step 1: Export Trace Data via API ```typescript import { LangfuseClient } from "@langfuse/client"; import { writeFileSync } from "fs"; const langfuse = new LangfuseClient(); async function exportTraces(options: { fromDate: string; toDate: string; outputFile: string; includeObservations?: boolean; }) { const allTraces: any[] = []; let page = 1; let hasMore = true; while (hasMore) { const result = await langfuse.api.traces.list({ fromTimestamp: options.fromDate, toTimestamp: options.toDate, limit: 100, page, }); for (const trace of result.data) { const exportItem: any = { id: trace.id, name: trace.name, timestamp: trace.timestamp, userId: trace.userId, sessionId: trace.sessionId, metadata: trace.metadata, tags: trace.tags, }; if (options.includeObservations) { const observations = await langfuse.api.observations.list({ traceId: trace.id, }); exportItem.observations = observations.data; } ...